Evidence map›Paper›PMID 31559462›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2020

Knee dislocation and associated injuries: an analysis of the American College of Surgeons National Trauma Data Bank.

Majid Chowdhry, Daniel Burchette, Danny Whelan, Avery Nathens, Paul Marks, David Wasserstein

Abstract read
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In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  7. Review
  8. Knee joint dislocations-Current epidemiology and treatment in Germany.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
    Article
  9. Review
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  16. Vascular Injuries in Multiligament Knee Injuries (MLKIs).Indian journal of orthopaedics · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Majid ChowdhryDepartment of Trauma and Orthopaedics, Brighton and Sussex University Hospitals, Brighton, East Sussex, UK. Majid.Chowdhry@nhs.net.
Daniel BurchetteDepartment of Trauma and Orthopaedics, Brighton and Sussex University Hospitals, Brighton, East Sussex, UK.ORCID http://orcid.org/0000-0002-2958-7277
Danny WhelanDivision of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Avery NathensDivision of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Paul MarksDivision of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
David WassersteinDivision of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.
Sunnybrook Health Science Centre · CASt. Michael's Hospital · CAUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeKnee dislocations (KDs) are potentially devastating injuries, leading to loss of function or limb in often young patients. This retrospective database review aims to determine the relative incidence and risk factors for KDs presenting to North American Level I and II trauma centers.

methodsThe National Trauma Data Bank (NTDB) was retrospectively interrogated using ICD-9-CM codes to identify KDs between 2010 and 2014 to derive KD incidence. KDs were stratified by age, sex, Injury Severity Score (ISS), Glasgow Coma Scale (GCS), drug and alcohol use, injury mechanism, open vs. closed KD, vascular injury and fracture. Each co-variate was tested against different mechanisms of injury, using Chi-squared tests and risk adjusted analyses to derive risk factors for KD. The same calculations were done for secondary outcomes (vascular and neurological injuries, compartment syndrome, amputation, and mortality).

resultsA total of 6454 KDs met the inclusion criteria (18/10,000 admissions). KDs occurred most commonly amongst men, aged 20-39, with an ISS score 1-14 and following motor vehicle collision (MVC). A vascular investigation was performed in 29%, with injury documented in 15% of KDs and 10.8% receiving a vascular procedure. Associated fractures were observed in 41.4% of KDs. Open injuries in 13.6%. Neurological injury documented in 6.2%, compartment syndrome in 2.7%, amputation in 3.8% (> 50% had vascular injury) and 2.8% died. MVC was the most common mechanism of injury (p < 0.001), significantly more common in young, male patients, associated with higher ISS and lower GCS, especially when drugs or alcohol were involved (p < 0.0001). Being male, having a vascular injury or open KD were all risk factors for compartment syndrome, amputation and neurological injuries.

conclusionsKDs are rare injuries, but their relative incidence may be increasing. Young, male patients involved in MVCs are risk factors for KDs and their associated injuries, such as neurological injuries, amputations and compartment syndrome. Vascular injury occurs at a frequency of around 15%. The findings of the current study may guide future research and help to inform clinicians on the expected rates of associated injuries in patients identified to have KD in a trauma center population. It informs regarding risk factors for KD, which may improve diagnosis rates of spontaneously reduced knee dislocations by increasing index of suspicion in high-risk patients and identifies specific links with impaired driving. LEVEL OF EVIDENCE: IV.

Indexed as

Accidents, TrafficAdolescentAdultChildChild, PreschoolDatabases, FactualFemaleHumansIncidenceInfantInfant, NewbornKnee DislocationMaleMiddle AgedRetrospective StudiesRisk FactorsAmputationIncidence of knee dislocationKnee dislocationNeurological injuryVascular injury

Identifiers

PMID31559462
OpenAlexW2976564959

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.